Back End Engineer

Creditsafe; Hyderabad; Hybrid; INR 1,500,000 - 2,100,000; Full time

Job summary

Creditsafe is seeking a Backend Engineer to join our Product Engineering team. You will design, develop, and maintain scalable backend services using Python and cloud-native approaches on AWS, with emphasis on FastAPI or Flask and PostgreSQL.

You will own API contracts, performance tuning, and deployment in CI/CD pipelines, working in a hybrid environment that combines collaboration with independent execution.

Qualifications

• Hands-on API/backend development with Python, FastAPI and/or Flask.
• Strong knowledge of PostgreSQL and AWS.
• 3-8 years of backend/software engineering experience.

Responsibilities

• Design, develop, and maintain scalable backend services using Python.
• Build high-quality APIs and backend applications using FastAPI, Flask, or similar frameworks.
• Design robust API contracts, validation, error handling, and service integrations.
• Develop efficient database solutions using PostgreSQL.
• Design and optimize database schemas, SQL queries, indexes, and data-access patterns.
• Analyze and improve application and database performance.
• Develop services capable of operating reliably within distributed and scalable system architectures.
• Work with asynchronous processing, event-driven workflows, background jobs, and distributed workloads.
• Design and develop cloud-native solutions using AWS services such as ECS, Lambda, DynamoDB, RDS, SQS, and API Gateway.
• Apply best practices around scalability, availability, reliability, security, observability, and cost optimization.
• Use Terraform / Infrastructure as Code to manage cloud infrastructure.
• Work with CI/CD pipelines and modern software delivery practices.
• Troubleshoot complex technical and production issues and perform root-cause analysis.
• Participate in system design and architectural discussions.
• Write clean, modular, reusable, testable, and maintainable code.
• Develop unit and integration tests to ensure reliability and maintainability.
• Participate in code reviews and contribute to engineering standards.
• Collaborate with Frontend, QA, Product, DevOps, and other engineering teams.
• Independently take ownership of complex technical problems from analysis through implementation and delivery.
• Use AI-assisted development tools to improve development efficiency, testing, debugging, refactoring, and documentation.

Skills

Python

FastAPI

Flask

PostgreSQL

AWS

Distributed systems

REST API

Git

CI/CD

Terraform / IaC

Cursor

GitHub Copilot

Pydantic

Docker

SQL queries

API Gateway

ECS

Lambda

DynamoDB

RDS

SQS

Terraform

Tools

Docker

Job description

Backend Engineer Python + AWS

Experience: 3-8 Years
Job Type: Full-Time
Department: Product Engineering
Location: Hybrid

About the Role

We are looking for a talented Backend Engineer with strong expertise in Python and cloud-native application development to join our Product Engineering team.

The ideal candidate will have hands-on experience building APIs and backend services using Python, FastAPI and/or Flask, along with strong knowledge of PostgreSQL and AWS.

You will work on highly scalable and distributed systems, solve complex engineering problems, optimize existing services, and contribute to building reliable cloud-native products. This role is ideal for engineers who enjoy taking ownership, working independently, and building systems that operate reliably at scale.

What You'll Do

• Design, develop, and maintain scalable backend services using Python.


• Build high-quality APIs and backend applications using FastAPI, Flask, or similar frameworks.


• Design robust API contracts, validation, error handling, and service integrations.


• Develop efficient database solutions using PostgreSQL.


• Design and optimize database schemas, SQL queries, indexes, and data-access patterns.


• Analyze and improve application and database performance.


• Develop services capable of operating reliably within distributed and scalable system architectures.


• Work with asynchronous processing, event-driven workflows, background jobs, and distributed workloads.


• Design and develop cloud-native solutions using AWS services such as ECS, Lambda, DynamoDB, RDS, SQS, and API Gateway.


• Apply best practices around scalability, availability, reliability, security, observability, and cost optimization.


• Use Terraform / Infrastructure as Code to manage cloud infrastructure.


• Work with CI/CD pipelines and modern software delivery practices.


• Troubleshoot complex technical and production issues and perform root-cause analysis.


• Participate in system design and architectural discussions.


• Write clean, modular, reusable, testable, and maintainable code.


• Develop unit and integration tests to ensure reliability and maintainability.


• Participate in code reviews and contribute to engineering standards.


• Collaborate with Frontend, QA, Product, DevOps, and other engineering teams.


• Independently take ownership of complex technical problems from analysis through implementation and delivery.


• Use AI-assisted development tools such as Cursor and GitHub Copilot to improve development efficiency, testing, debugging, refactoring, and documentation.

What We're Looking For

• 3-8 years of professional experience in backend/software engineering.


• Strong programming experience with Python.


• Hands-on experience with FastAPI and/or Flask.


• Good understanding of Pydantic and data validation/modeling.


• Strong experience with PostgreSQL and SQL.


• Experience designing efficient database schemas and optimizing SQL queries.


• Hands-on experience with AWS cloud services.


• Experience with one or more of ECS, Lambda, DynamoDB, RDS, SQS, API Gateway.


• Understanding of distributed systems and scalable application architectures.


• Experience with Terraform or Infrastructure as Code.


• Familiarity with CI/CD pipelines and automated software delivery.


• Strong understanding of REST API design and backend architecture.


• Experience with Git and modern software development practices.


• Strong analytical and problem-solving skills.


• Good communication and collaboration skills.

Good to Have

• Experience with Generative AI, LLMs, AI Agents, AI/ML, or AI-powered applications.


• Experience integrating AI capabilities into backend systems.


• Knowledge of event-driven and asynchronous architectures.


• Experience with Docker and containerized applications.


• Experience with application observability, monitoring, logging, and distributed tracing.


• Experience working with high-volume SaaS or enterprise applications.


• Practical experience using Cursor, GitHub Copilot, or similar AI development tools.

What You'll Bring

• Strong individual contributor mindset with a high degree of ownership.


• Ability to independently analyze and solve complex engineering problems.


• Strong understanding of scalable and reliable system design.


• Focus on clean code, maintainability, performance, and reliability.


• Ability to optimize existing systems and identify opportunities for engineering improvement.


• Willingness to learn new technologies and continuously improve engineering practices.


• Strong communication and teamwork skills.


• Interest in applying AI and emerging technologies to improve software development and product capabilities.

Why Join Us?

You will work on cloud-native, scalable, distributed systems using modern technologies and AWS services. The role provides opportunities to contribute to system architecture, solve challenging engineering problems, and explore Generative AI and AI-assisted software engineering in a modern Product Engineering environment.